VLSI friendly edge gradient detection based multiple reference frames motion estimation optimization for H.264/AVC

Zhenyu Liu*, Yiqing Huang, Yang Song, Satoshi Goto, Takeshi Ikenaga

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In H.264/AVC standard, motion estimation can be processed on multiple reference frames (MRF) to improve the video coding performance. The computation is also increased in proportion to the reference frame number. Many software oriented fast multiple reference frames motion estimation (MRF-ME) algorithms have been proposed. However, for the VLSI real-time encoder, the heavy computation of fractional motion estimation (FME) makes the integer motion estimation (IME) and FME must be scheduled in two macro block (MB) pipeline stages, which makes many fast MRF-ME algorithms inefficient. In this paper, one edge gradient detection based algorithm is provided to reduce the computation of MRF-ME. The image being rich of texture and sharp edges contains much high frequency signal and this nature makes MRF-ME essential. Through analyzing the edges' gradient, we just perform MRF-ME on those blocks with sharp edges, so the redundant ME computation can be efficiently reduced. Experimental results show that average 26.43% computation can be saved by our approach with the similar coding quality as the reference software. This proposed algorithm is friendly to hardwired encoder implementation. Moreover, the provided fast algorithms can be combined with other fast ME algorithms to further improve the performance.

本文言語English
ホスト出版物のタイトル15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
ページ1809-1813
ページ数5
出版ステータスPublished - 2007 12 1
イベント15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland
継続期間: 2007 9 32007 9 7

出版物シリーズ

名前European Signal Processing Conference
ISSN(印刷版)2219-5491

Conference

Conference15th European Signal Processing Conference, EUSIPCO 2007
国/地域Poland
CityPoznan
Period07/9/307/9/7

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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